Aceve

• As an AI Engineer at Aceve, you will design, build, and deploy the internal AI solutions that power our digital transformation across the group’s portfolio companies. • You’ll take ownership of the full lifecycle of internal AI products — from scoping with business stakeholders through to deployment and continuous improvement. • Design and build AI agents, automations, and LLM integrations that solve real operational challenges across ACEVE Group’s portfolio companies. • Partner with business teams to understand their workflows, identify high-impact AI opportunities, and translate them into working solutions. • Iterate on deployed solutions based on real-world usage and feedback, ensuring adoption and continuous improvement. • Contribute to a shared engineering foundation — reusable components, patterns, and best practices that scale across the group. • Evaluate and recommend new AI tools, models, and frameworks that could advance Aceve’s internal capabilities. • Document your solutions clearly so business teams and colleagues can understand, maintain, and build on them. • Support the AI Champions network with technical guidance and pair-building sessions, helping colleagues across departments implement AI in their daily work. • Run occasional hands-on or remote workshops when deep technical expertise is needed, and gather user feedback directly across ACEVE’s multiple markets.

• Lead both the technical and human sides of AI transformation — building solutions, running enablement programmes, and keeping our AI Champions network thriving across Europe. • Design, build, and iterate on internal AI tools and automation solutions that solve real operational problems across the organisation. • Plan and deliver engaging AI workshops and training programmes tailored to varying levels of technical fluency across six European markets. • Manage and grow the AI Champions network, acting as the connective tissue between local market advocates and the central AI Transformation Team. • Partner with the engineering team to translate complex AI capabilities into accessible, practical use cases for non-technical stakeholders. • Track and report on AI adoption metrics across markets, identifying gaps and opportunities to accelerate enablement. • Stay close to the fast-moving AI landscape, surfacing relevant tools, models, and approaches that could benefit Aceve’s teams and products.